Parallel Strategy for the Large-Scale Data Streams Processing

被引：0
|
作者：
Yuan, Ya-Juan [1 ]
Ma, Guo-Jie [1 ]
机构：
[1] Cang Zhou Med Coll, Cangzhou, Peoples R China
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND INFORMATION SYSTEMS | 2016年 / 52卷
关键词：
graphics processing units; parallel strategy; power efficiency; power model;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Large-scale data streams processing is import to data processing application. So we need to investigate the parallel strategy for the Large-scale data streams processing. Here we propose two parallel strategies to handle data streams in real time, and consider the power efficiency as an important factor to the parallel strategies. We present a method to quantify the power efficiency for data streams during the computing. Finally, we compare the two parallel strategies on a large quantity of real stream data. The experiments prove the accuracy of analysis on power efficiency.
引用
收藏
页码：232 / 234
页数：3
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